Abstract
Before Covid-19 crisis, the results of undergraduate admission were reported using paper-base with raw data. As a result, the administrators were unable to apply the unclear information for decision in a timely manner. This case study was performed by the academic affair of the Faculty of Industrial Education and Technology, King Mongkut’s University of Technology Thonburi (KMUTT), Thailand. The undergraduate admission process was analyzed in group discussion according to the SIPOC model, found that administrators as suppliers wanted to get the dashboards of informative reports which must be accurate and up to date. The online informative reports were then developed using Looker Studio program to make the big data easier to determine for student admission management. The dashboards could display various information such as number of applicants in each academic year, round, academic programs, and category. The system could show grade point average and school of applicants, and which programs or categories were the most interested. There are usually 4 rounds of admission by Thai University Central Admission System (TCAS) for 8 undergraduate programs in an academic year with >10 categories, resulting in big data analysis. After applying the Looker Studio program to present the online informative reports for 5 academic years since 2019, the satisfaction of administrators and related staffs as the target group was evaluated using online questionnaire with 5-point Likert scale. The opinion of 22 respondents showed that they were strongly agree with the online informative reports which are very appropriate to understand and analyze.
Author Information
Aileenda Sonprint, King Mongkut's University of Technology Thonburi, Thailand
Komkrit Chomsuwan, King Mongkut's University of Technology Thonburi, Thailand
Wisitsree Wiyaratn, King Mongkut's University of Technology Thonburi, Thailand
Paper Information
Conference: ACE2023
Stream: Educational policy
This paper is part of the ACE2023 Conference Proceedings (View)
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To cite this article:
Sonprint A., Chomsuwan K., & Wiyaratn W. (2024) Development of Informative Reports for Analysis of Student Admission, Case Studies for the Faculty of Industrial Education and Technology, KMUTT ISSN: 2186-5892 The Asian Conference on Education 2023: Official Conference Proceedings https://doi.org/10.22492/issn.2186-5892.2024.29
To link to this article: https://doi.org/10.22492/issn.2186-5892.2024.29
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